The Swiss Federal Institute for Forest, Snow and Landscape Research is concerned with the use, development and protection of natural and urban spaces. The focus of our research is on solving problems to do with the responsible use of landscapes and forests and a prudent approach to natural hazards, especially those common in mountainous countries. WSL occupies a leading position internationally in these research areas. We also provide groundwork for sustainable environmental policies in Switzerland.

More information: https://www.wsl.ch/

3 datasets found

  • Automatic Classification of Avalanches

    EnviDat: the Environmental Data Portal
    Education, culture and sport

    This dataset contains the classification and localization results obtained during the automatic classification of avalanches during the winter season 2017.

    Last updated: November 3, 2019

    • SERVICE
    • avalanche
    • localization
    • machine-learning
    • monitoring
    • seismic
  • Cropland and grassland map of Switzerland based on Sentinel-2 data

    EnviDat: the Environmental Data Portal
    Education, culture and sport

    We developed a map of cropland and grassland allocation for Switzerland based on several indices dominantly derived from Sentinel-2 satellite imagery captured over multiple growing...

    Last updated: March 29, 2021

    • GeoTIFF
    • SERVICE
    • TIFF
    • agriculture
    • cropland
    • grassland
    • habitat
    • machine-learning
    • phenology
    • remote-sensing
    • sentinel-2
    • switzerland
    • vegetation-indices
  • Distributed Acoustic Sensing Brienz

    EnviDat: the Environmental Data Portal
    Education, culture and sport

    This dataset contains the Distributed Acoustic Sensing (DAS), radar detection data used for training and result analysis in the GRL paper titled `Automatic Monitoring of Rock-Slope...

    Last updated: November 13, 2025

    • SERVICE
    • early-warning
    • landslide
    • machine-learning
    • natural-hazard
    • rockfall
    • seismic